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Multi-View Causal Representation Learning with Partial Observability

Multi-View Causal Representation Learning with Partial Observability

7 November 2023
Dingling Yao
Danru Xu
Sébastien Lachapelle
Sara Magliacane
Perouz Taslakian
Georg Martius
Julius von Kügelgen
Francesco Locatello
    CML
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Papers citing "Multi-View Causal Representation Learning with Partial Observability"

14 / 14 papers shown
Title
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
Ruichu Cai
Kaitao Zheng
Junxian Huang
Zijian Li
Zhengming Chen
Boyan Xu
Zhifeng Hao
AI4TS
CML
28
0
0
12 May 2025
Contextures: Representations from Contexts
Contextures: Representations from Contexts
Runtian Zhai
Kai Yang
Che-Ping Tsai
Burak Varici
Zico Kolter
Pradeep Ravikumar
110
0
0
02 May 2025
Negate or Embrace: On How Misalignment Shapes Multimodal Representation Learning
Negate or Embrace: On How Misalignment Shapes Multimodal Representation Learning
Yichao Cai
Yuhang Liu
Erdun Gao
T. Jiang
Zhen Zhang
Anton van den Hengel
J. Shi
62
0
0
14 Apr 2025
Sanity Checking Causal Representation Learning on a Simple Real-World System
Sanity Checking Causal Representation Learning on a Simple Real-World System
Juan L. Gamella
Simon Bing
Jakob Runge
CML
50
0
0
27 Feb 2025
What is causal about causal models and representations?
What is causal about causal models and representations?
Frederik Hytting Jørgensen
Luigi Gresele
S. Weichwald
CML
105
0
0
31 Jan 2025
Smoke and Mirrors in Causal Downstream Tasks
Smoke and Mirrors in Causal Downstream Tasks
Riccardo Cadei
Lukas Lindorfer
Sylvia Cremer
Cordelia Schmid
Francesco Locatello
CML
30
3
0
27 May 2024
Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning
Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning
Yuhang Liu
Zhen Zhang
Dong Gong
Biwei Huang
Mingming Gong
A. Hengel
Kun Zhang
Javen Qinfeng Shi
J. Shi
41
7
0
09 Feb 2024
Causal Representation Learning Made Identifiable by Grouping of
  Observational Variables
Causal Representation Learning Made Identifiable by Grouping of Observational Variables
H. Morioka
Aapo Hyvarinen
OOD
CML
BDL
30
9
0
24 Oct 2023
Nonparametric Identifiability of Causal Representations from Unknown
  Interventions
Nonparametric Identifiability of Causal Representations from Unknown Interventions
Julius von Kügelgen
M. Besserve
Wendong Liang
Luigi Gresele
Armin Kekić
Elias Bareinboim
David M. Blei
Bernhard Schölkopf
CML
18
56
0
01 Jun 2023
Multi-View Independent Component Analysis with Shared and Individual
  Sources
Multi-View Independent Component Analysis with Shared and Individual Sources
T. Pandeva
Patrick Forré
CML
13
5
0
05 Oct 2022
Causal Inference Through the Structural Causal Marginal Problem
Causal Inference Through the Structural Causal Marginal Problem
Luigi Gresele
Julius von Kügelgen
Jonas M. Kubler
Elke Kirschbaum
Bernhard Schölkopf
Dominik Janzing
22
19
0
02 Feb 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
308
5,773
0
29 Apr 2021
Contrastive Learning Inverts the Data Generating Process
Contrastive Learning Inverts the Data Generating Process
Roland S. Zimmermann
Yash Sharma
Steffen Schneider
Matthias Bethge
Wieland Brendel
SSL
238
207
0
17 Feb 2021
Weakly-Supervised Disentanglement Without Compromises
Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello
Ben Poole
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
Michael Tschannen
CoGe
OOD
DRL
175
313
0
07 Feb 2020
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